Triple

T20951501
Position Surface form Disambiguated ID Type / Status
Subject All Saints’ Church, Langport E515986 entity
Predicate hasView P854 FINISHED
Object Langport town NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Langport town | Statement: [All Saints’ Church, Langport, hasView, Langport town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langport town
Context triple: [All Saints’ Church, Langport, hasView, Langport town]
  • A. Langport chosen
    Langport is a small historic market town in Somerset, England, known for its medieval heritage and strategic location by the River Parrett.
  • B. Lydford
    Lydford is a historic village on the western edge of Dartmoor in Devon, England, known for its medieval castle, dramatic gorge, and scenic river landscapes.
  • C. Frampton-on-Severn
    Frampton-on-Severn is a picturesque village in Gloucestershire, England, known for its large village green and historic Cotswold stone buildings.
  • D. Stourport-on-Severn
    Stourport-on-Severn is a historic inland port town in Worcestershire, England, known for its canal basins and role in the development of the British canal network.
  • E. Walport
    Walport is the surname of Sir Mark Walport, a prominent British medical scientist and former UK Government Chief Scientific Adviser.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fade4e2c81908ab2619d74fcc5a7 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:26 p.m.